Triple
T4113696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turku |
E90238
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Old Great Square
Old Great Square is a historic central plaza in Turku, Finland, known for its preserved medieval surroundings and role as a cultural and event hub.
|
E416266
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Old Great Square | Statement: [Turku, hasLandmark, Old Great Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Great Square Context triple: [Turku, hasLandmark, Old Great Square]
-
A.
Queen’s Square
Queen’s Square is a residential neighborhood within Belize City, Belize.
-
B.
Holy Trinity Square
Holy Trinity Square is a historic public square in Budapest’s Castle District, known for its Baroque Holy Trinity Column and proximity to landmarks like Matthias Church and Buda Castle.
-
C.
Queen Square
Queen Square is a historic public square located in the coastal city of Brunswick, Georgia.
-
D.
Queen Square
Queen Square is a historic garden square in the Bloomsbury district of central London, known for its Georgian architecture and nearby medical and academic institutions.
-
E.
Trinity Square
Trinity Square is a historic public square in the City of London, known for its memorials and proximity to the Tower of London.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Old Great Square Triple: [Turku, hasLandmark, Old Great Square]
Generated description
Old Great Square is a historic central plaza in Turku, Finland, known for its preserved medieval surroundings and role as a cultural and event hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Great Square Target entity description: Old Great Square is a historic central plaza in Turku, Finland, known for its preserved medieval surroundings and role as a cultural and event hub.
-
A.
Queen’s Square
Queen’s Square is a residential neighborhood within Belize City, Belize.
-
B.
Holy Trinity Square
Holy Trinity Square is a historic public square in Budapest’s Castle District, known for its Baroque Holy Trinity Column and proximity to landmarks like Matthias Church and Buda Castle.
-
C.
Queen Square
Queen Square is a historic public square located in the coastal city of Brunswick, Georgia.
-
D.
Queen Square
Queen Square is a historic garden square in the Bloomsbury district of central London, known for its Georgian architecture and nearby medical and academic institutions.
-
E.
Trinity Square
Trinity Square is a historic public square in the City of London, known for its memorials and proximity to the Tower of London.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01e06ce48190b840d931e44095ea |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576a9158c8190aa0068d955fb174d |
completed | March 14, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69b577653214819093396a8601e52245 |
completed | March 14, 2026, 2:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b57b90cb308190ba102f999795829c |
completed | March 14, 2026, 3:15 p.m. |
Created at: March 9, 2026, 3:41 p.m.